code: def get_all_rounding_operators():
      """Gets all array rounding operators registered with MXNet.
  
      Returns
      -------
      {"operator_name": {"has_backward", "nd_op_handle", "params"}}
      """
      rounding_ops = ["round", "rint", "fix", "floor", "ceil", "trunc"]
  
      # Get all mxnet operators
      mx_operators = _get_all_mxnet_operators()
  
      # Filter for Array Rounding operators
      rounding_mx_operators = {}
      for op_name, op_params in mx_operators.items():
          if op_name in rounding_ops:
              rounding_mx_operators[op_name] = mx_operators[op_name]
      return rounding_mx_operators
  
imports: from operator import itemgetter
  from mxnet import runtime
  import mxnet
  from benchmark.opperf.rules.default_params import DEFAULTS_INPUTS, DEFAULTS_INPUTS_LARGE_TENSOR, MX_OP_MODULE
label_desc: Use image node_id 23 for calling a global function with example usage: get_all_rounding_operators() and returns: rounding_mx_operators